Transparency
Every published pick links to the model that produced it, the blocks inside that model, and a full track record. No black boxes, no "trust us." If the math is wrong we want you to find it.
Our mission
Hedge-fund-grade analytics in the hands of every bettor.
Putting hedge fund-grade analytics in the hands of every bettor.
Built by a sharp who got tired of the noise
Shark Snip started as a personal modeling stack — TF.js in the browser, Bayesian regression on nflverse + NBA play-by-play, every pick graded against the closing line. When the methodology kept beating the books at +2% CLV, we open-sourced the blocks and built a no-code builder so anyone could ship the same kind of edge without writing a line of code.
We're not a tout. We don't sell locks. We ship transparent models, grade them in public, and split revenue with the creators who beat us.
Our principles
Three things we never compromise on, no matter how much money is on the table.
Accuracy
We grade every pick against the closing line. CLV, Brier, and ATS% are public and updated nightly. Models that lose money over a full season get retired — the leaderboard is brutal on purpose.
Edge
No vig laundering, no inflated juice, no "lock of the week" theatrics. We surface measurable, repeatable edges — small enough to be real, big enough to compound across a full schedule.
By the numbers
Live counts across every sport we model. Refreshed nightly off the published-models snapshot.
120+
house models
4.2M
picks tracked
8k+
community size
Mission
Our mission
To put professional-grade analytical tools in the hands of every sports bettor, and to build a marketplace where modelers with transparent records can get paid for useful research.
Quick read for bettors and builders
- Tools, not tips. We don't sell "lock of the day." We sell the modeling stack.
- Creators keep half, in cash. Always.
- We never sell signals to sportsbooks. That's the bright line.
- Public methodology, public track records, public affiliate disclosures.
Open data, open methods. We publish what we know.
Our values
Transparency over mystery
Every model on Shark Snip has a public track record. Every weighting in our Consensus is documented. Every fee is visible. Every affiliate relationship is disclosed. The category we operate in has been built on opaque "lock of the day" tipster culture, and we are explicitly the alternative.
Tools, not tips
We don't tell you what to bet. We give you the data, the models, and the infrastructure to figure it out yourself — or to find a creator whose track record you trust. This isn't pedantry; it's a deliberate response to a regulatory and cultural environment that has been damaged by paid-pick services.
Creators get half. Always.
We could keep 70% of every marketplace transaction the way most app stores do. We don't, because if we did, the best creators would never come here. Shark Snip's split is 50% to the creator, 50% to the platform — flat, every transaction, no tier ladder, clear pricing before checkout. The platform should be a better deal for top performers than building their own subscriber list. Half of every dollar back is what makes that possible.
Sharps over books
The single bright line in our business model: we do not sell aggregate Consensus signals to sportsbooks or operators. Doing so would help the books move lines against the same audience that pays us. We exist because the asymmetry between books and bettors is too large; we will not be the people who close it on the wrong side.
Engineered for the curious, accessible to the casual
A first-time bettor can use the picks page and never touch the marketplace. A retired math professor can train ensembles, fork other creators' models, and earn six figures. The product has to work at both ends without making either group feel patronized.
Build in public
We publish what we're building, what we're learning, and what we got wrong. Shark Snip Weekly tells you which models hit and which missed. The blog talks about why. The roadmap is visible.
What we believe
The model is the product, not the data. Models are derivative works of facts; facts can't be copyrighted. This is not just a legal frame, it's our architectural commitment. Datasets stay with creators; models live in the marketplace.
Building should be free. Paywall the picks, not the practice. Tinker is free forever. You can train models, backtest them, wire other creators' blocks into your own private models, and inspect the backtest performance — all without paying a dollar. The paywall sits on live picks from a trained model, where the value is most immediate and the marginal cost is real.
Wisdom of crowds beats any individual model. A thousand opted-in ML models trained by a thousand different tinkerers will find more edge, more often, than any one model — including ours. Consensus is our flagship product because it's structurally the best version of the platform's value.
Sports betting analytics is genuinely useful, even if you never bet. Knowing how a market priced something incorrectly is a window into how all prediction markets work. We have users who never place a wager — they're here because the modeling problems are interesting. That's a feature, not a bug.
Where we're not going
- We won't build a sportsbook. Other companies do this well, and the regulatory complexity and capital requirements would make us a worse version of ourselves.
- We won't be a tipster service. Even if it's where the easiest revenue lives.
- We won't take VC money to scale CAC artificially. Slow, content-led, profitable growth is the strategy. The exit comp landscape (OddsJam $160M, Action Network $240M) supports this.
- We won't sell models to whales who promise to use them ethically. Top models are accessible to anyone with a Weekly or Premium subscription or a $5 Slate Pass. The marketplace is fair or it's nothing.
— Shark Snip
Read the picks, follow the math.
Every house pick is free to read. Paid tiers unlock the builder, the floating training worker, and marketplace publishing.